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Cited By

Duration-aware pause insertion using pre-trained language model for
multi-speaker text-to-speech

Duration-aware pause insertion using pre-trained language model for multi-speaker text-to-speech

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023

27 February 2023

Tomoki Koriyama

Yuki Saito

Hiroshi Saruwatari

ArXiv (abs)PDF HTML Github

Papers citing "Duration-aware pause insertion using pre-trained language model for multi-speaker text-to-speech"

4 / 4 papers shown

Leveraging the Interplay Between Syntactic and Acoustic Cues for
Optimizing Korean TTS Pause Formation

Leveraging the Interplay Between Syntactic and Acoustic Cues for Optimizing Korean TTS Pause FormationInternational Conference on Language Resources and Evaluation (LREC), 2024

Gary Geunbae Lee

187

0

0

03 Apr 2024

Frame-Wise Breath Detection with Self-Training: An Exploration of
Enhancing Breath Naturalness in Text-to-Speech

Frame-Wise Breath Detection with Self-Training: An Exploration of Enhancing Breath Naturalness in Text-to-Speech

Tomoki Koriyama

Yuki Saito

356

4

0

01 Feb 2024

Emotion-Aware Prosodic Phrasing for Expressive Text-to-Speech

Emotion-Aware Prosodic Phrasing for Expressive Text-to-Speech

288

4

0

21 Sep 2023

PauseSpeech: Natural Speech Synthesis via Pre-trained Language Model and
Pause-based Prosody Modeling

PauseSpeech: Natural Speech Synthesis via Pre-trained Language Model and Pause-based Prosody ModelingAsian Conference on Pattern Recognition (ACPR), 2023

249

5

0

13 Jun 2023

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